Auto Network Speeds Rise As Carmakers Prep For Autonomy


In-vehicle networks are starting to migrate from domain architectures to zonal architectures, an approach that will simplify and speed up communication in a vehicle using fewer protocols, less wiring, and ultimately lower cost. Zonal architectures will partition vehicles into zones that are more manageable and flexible, but getting there will take time. There is so much legacy technology in ... » read more

AI Races To The Edge


AI is becoming increasingly sophisticated and pervasive at the edge, pushing into new application areas and even taking on some of the algorithm training that has been done almost exclusively in large data centers using massive sets of data. There are several key changes behind this shift. The first involves new chip architectures that are focused on processing, moving, and storing data more... » read more

Startup Funding: November 2023


November was a banner month for quantum computing startups, with two raising rounds of $100 million for their superconducting and silicon spin qubit technology. Another significant round went to a company developing photonic-based systems. Several other companies drew funding, including one applying quantum sensors to semiconductor inspection. Sizeable funding also went to an autonomous tran... » read more

Autonomous Vehicles: Not Ready Yet


The swirl of activity around L4 and L5 vehicles has yet to result in a successful demonstration of an autonomous vehicle that can navigate the streets of a city or highway without incident, and there is a growing body of real-world data showing that much work still needs to be done. Robo-taxi trials in big cities such as San Francisco, Los Angeles, and soon San Diego, are proving that autono... » read more

DRAM Choices Are Suddenly Much More Complicated


Chipmakers are beginning to incorporate multiple types and flavors of DRAM in the same advanced package, setting the stage for increasingly distributed memory but significantly more complex designs. Despite years of predictions that DRAM would be replaced by other types of memory, it remains an essential component in nearly all computing. Rather than fading away, its footprint is increasing,... » read more

Bug, Flaw, Or Cyberattack?


The lines between counterfeiting, security, and design flaws are becoming increasingly difficult to determine in advanced packages and process nodes, where the number of possible causes of unusual behavior grow exponentially with the complexity of a device. Strange behavior may be due to a counterfeit part, including one that contains a trojan. Or it may be the result of a cyberattack. It al... » read more

For SDVs, Software Is The Biggest Challenge


Software-defined vehicles (SDVs) involve far more than just OTA applications enabling software upgrades over the air. Software that will manage hundreds of ECUs and other functions within the vehicle is expected to grow beyond hundreds of millions of lines of code, possibly making SDV software development the number one challenge in automotive design. The benefits of SDVs, such as easy updat... » read more

Data Leakage In Heterogeneous Systems


Semiconductor Engineering sat down with Paul Chou, senior director of security architecture at NVIDIA, to discuss data leakage in heterogeneous designs. What follows are excerpts of that one-on-one interview, which was held in front of a live audience at the Hardwear.io conference. SE: We think about hardware in terms of a chip, but increasingly there is data moving through different systems... » read more

How Much AI Is Really Needed?


Tensor Core GPUs have created a generative AI model gold rush. Whether it’s helping students with math homework, planning a vacation, or learning to prepare a six-course meal, generative AI is ready with answers. But that's only one aspect of AI, and not every application requires it. AI — now an all-inclusive term, referring to the process of using algorithms to learn, predict, and make... » read more

Making Sensors More Reliable


Experts at the Table: Semiconductor Engineering sat down to talk about the latest issues in sensors with Prakash Madhvapathy, director of product marketing, Tensilica audio/voice DSPs group at Cadence; Kevin Hughes, senior product manager for MEMS sensors at Infineon; and Matthew Hogan, product management director at Siemens EDA. What follows are excerpts of that conversation. [L-R] Kevin ... » read more

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